Volume 55, Number 6, November-December 2021
|Page(s)||3339 - 3357|
|Published online||15 November 2021|
An optimized model for open innovation success in manufacturing SMES
Department of Industrial Management, Faculty of Economics, Management and Administrative Sciences, Semnan University, Semnan, Iran
2 Department of Industrial Management, Faculty of Human Sciences, Shahed University, Tehran, Iran
* Corresponding author: firstname.lastname@example.org
Accepted: 20 October 2021
Given the fluctuations in markets and the financial and resource constraints of SMEs, innovation is one of the solutions for improving performance, gaining competitive advantage and increasing survival probability for these companies. The paper aims to determine the best ranking of effective factors in open innovation success in manufacturing SMEs. At the first stage, the most important factors investigated using structural equation modelling based on the opinion of 275 experts. Subsequently, the impact level of each factor on the others calculated by fuzzy DEMATEL among 12 specialists’ viewpoints. In the end, optimized ranking of studied factors obtained by Ant Colony Optimization algorithm. As a result, economic factors, suppliers, competitors, partners, firm’s strategy, firm’s structure, reward system, employees, IT support, organizational learning, universities, research institutions, and ecological issues hold the first to the thirteenth rank with the highest cumulative impact on open innovation success. Developing relations with universities and research institutions for improving innovation process is recommended to manufacturing SMEs. In addition, these companies should coordinate firm’s strategy as one of the most important open innovation success factors with partners to gain competitive advantages against competitors.
Mathematics Subject Classification: 68T20
Key words: Open Innovation / Fuzzy DEMATEL / optimization / Ant Colony / Artificial Intelligence
© The authors. Published by EDP Sciences, ROADEF, SMAI 2021
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